Upload ms-swift/examples/train/agent/train.sh with huggingface_hub

ms-swift/examples/train/agent/train.sh

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+# 24GB
+CUDA_VISIBLE_DEVICES=0 \
+swift sft \
+    --model Qwen/Qwen2.5-3B \
+    --template default \
+    --train_type lora \
+    --dataset iic/ms_agent \
+    --loss_scale react \
+    --tools_prompt react_en \
+    --torch_dtype bfloat16 \
+    --num_train_epochs 1 \
+    --per_device_train_batch_size 1 \
+    --per_device_eval_batch_size 1 \
+    --learning_rate 1e-4 \
+    --lora_rank 8 \
+    --lora_alpha 32 \
+    --target_modules all-linear \
+    --gradient_accumulation_steps 8 \
+    --eval_steps 50 \
+    --save_steps 50 \
+    --save_total_limit 2 \
+    --logging_steps 5 \
+    --max_length 8192 \
+    --packing true \
+    --use_liger_kernel true \
+    --output_dir output \
+    --warmup_ratio 0.05 \
+    --attn_impl flash_attn \
+    --dataloader_num_workers 4 \
+    --dataset_num_proc 16